IGSNRR OpenIR
Construction of Comprehensive Drought Monitoring Model in Jing-Jin-Ji Region Based on Multisource Remote Sensing Data
Yu, Haozhe1,2; Li, Lijuan1; Liu, Yang1,2; Li, Jiuyi1
2019-05-01
Source PublicationWATER
ISSN2073-4441
Volume11Issue:5Pages:17
Corresponding AuthorLi, Lijuan(lilijuan@igsnrr.ac.cn)
AbstractDrought is a complex hazard that has more adverse effects on agricultural production and economic development. Studying drought monitoring techniques and assessment methods can improve our ability to respond to natural disasters. Numerous drought indices deriving from meteorological or remote sensing data are focused mainly on monitoring single drought response factors such as soil or vegetation, and the ability to reflect comprehensive information on drought was poor. This study constructed a comprehensive drought-monitoring model considering the drought factors including precipitation, vegetation growth status, and soil moisture balance during the drought process for the Jing-Jin-Ji region, China. The comprehensive drought index of remote sensing (CDIR), a drought indicator deduced by the model, was composed of the vegetation condition index (VCI), the temperature condition index (TCI), and the precipitation condition index (PCI). The PCI was obtained from the Tropical Rainfall Measuring Mission (TRMM) satellite. The VCI and TCI were obtained from a moderate-resolution imaging spectroradiometer (MODIS). In this study, a heavy drought process was accurately explored using the CDIR in the Jing-Jin-Ji region in 2016. Finally, a three-month scales standardized precipitation index (SPI-3), drought affected crop area, and standardized unit yield of wheat were used as validation to evaluate the accuracy of this model. The results showed that the CDIR is closely related to the SPI-3, as well as variations in the drought-affected crop area and standardized unit yield of crop. The correlation coefficient of the CDIR with SPI-3 was between 0.45 and 0.85. The correlation coefficient between the CDIR and drought affected crop was between -0.81 and -0.86. Moreover, the CDIR was positively correlated with the standardized unit yield of crop. It showed that the CDIR index is a decent indicator that can be used for integrated drought monitoring and that it can synthetically reflect meteorological and agricultural drought information.
Keywordmultisource remote sensing data synthesized drought monitoring model CDIR trend analysis Jing-Jin-Ji region China
DOI10.3390/w11051077
WOS KeywordVEGETATION INDEX ; CHINA ; TEMPERATURE ; PRECIPITATION ; MODIS ; PROGRESS ; IMPACTS
Indexed BySCI
Language英语
Funding ProjectNational Key Research and Development Plan: Factors Identification of Water Resources Carrying Risk and its Mechanism[2016YFC0401307] ; Demand Management of Water Resources and Development Layout in Beijing-Tianjin-Hebei Region[2016YFC0401402]
Funding OrganizationNational Key Research and Development Plan: Factors Identification of Water Resources Carrying Risk and its Mechanism ; Demand Management of Water Resources and Development Layout in Beijing-Tianjin-Hebei Region
WOS Research AreaWater Resources
WOS SubjectWater Resources
WOS IDWOS:000472680400207
PublisherMDPI
Citation statistics
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/58344
Collection中国科学院地理科学与资源研究所
Corresponding AuthorLi, Lijuan
Affiliation1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
Recommended Citation
GB/T 7714
Yu, Haozhe,Li, Lijuan,Liu, Yang,et al. Construction of Comprehensive Drought Monitoring Model in Jing-Jin-Ji Region Based on Multisource Remote Sensing Data[J]. WATER,2019,11(5):17.
APA Yu, Haozhe,Li, Lijuan,Liu, Yang,&Li, Jiuyi.(2019).Construction of Comprehensive Drought Monitoring Model in Jing-Jin-Ji Region Based on Multisource Remote Sensing Data.WATER,11(5),17.
MLA Yu, Haozhe,et al."Construction of Comprehensive Drought Monitoring Model in Jing-Jin-Ji Region Based on Multisource Remote Sensing Data".WATER 11.5(2019):17.
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